Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation
Job Summary
Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation.
Develop and deploy AI agents and LLM-integrated applications under minimal supervision, utilizing structured outputs and function/tool calling patterns.
Adhere to company standards for AI security, ethics, and responsible use, with a focus on mitigating prompt injection and PII leakage.
Matching Summary
Participate in AI solution architecture discussions and contribute hands-on to technical design and implementation.
Skills & Requirements
Must-have
AI solution architecture
AI agents and LLM-integrated applications
RAG architectures and vector databases
Cloud model provider integration
Python and/or TypeScript/Node.js
Software engineering best practices
Nice-to-have
Media and Broadcast domain experience
Agent framework expertise
Analytical and problem-solving skills
Cross-functional team collaboration
Key Requirements
5+ years of experience in software engineering
Applied AI or agent development experience preferred
BS/BA in Computer Science, Software Engineering, or related discipline; or equivalent experience